{"id":"W2808718101","doi":"10.1016/j.neuroimage.2018.06.054","title":"White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Research on Brain Language and Music; McGill University; International Laboratory for Brain, Music and Sound Research; Concordia University","funders":"European Regional Development Fund; Universitat de Barcelona","keywords":"Melody; Rhythm; Psychology; Task (project management); Cognitive psychology; Lateralization of brain function; Motor learning; Neuroscience; Audiology; Musical; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002119704,0.0002265378,0.0001650157,0.0003159971,0.0002340329,0.0005344865,0.0002407482,0.0003581263,0.004681844],"category_scores_gemma":[0.001599336,0.0001633644,0.0001246903,0.000175876,0.0003490983,0.0005092065,0.0003467015,0.0003233147,0.0005002278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607099,"about_ca_system_score_gemma":0.000120995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988698,"about_ca_topic_score_gemma":0.007706108,"domain_scores_codex":[0.999934,0.000006443358,0.000004650148,0.00002634157,0.000008797776,0.00001973475],"domain_scores_gemma":[0.9994422,0.0001817487,0.0001573451,0.00004401684,0.0000425166,0.00013218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00290656,0.0005047653,0.8308766,0.00007147768,0.0002891739,0.0007774557,0.001237797,0.001338425,0.135434,0.0005583225,0.0007265167,0.02527881],"study_design_scores_gemma":[0.00001225798,0.0001023585,0.9970766,0.000002405932,0.00001816681,0.0001851682,0.0001934047,0.000784093,0.001210198,0.000330275,0.00008093259,0.000004069536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994645,0.00002380074,0.0001129824,0.00002830271,0.000002624651,0.000002116921,0.00004481183,0.00000363472,0.0003173284],"genre_scores_gemma":[0.9990724,0.00002368144,0.00008385341,0.00001188205,0.000006181639,0.000002180916,0.0001354797,0.000005486681,0.0006587017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004681844,"threshold_uncertainty_score":0.01566237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527616948835815,"score_gpt":0.282722871246837,"score_spread":0.2574467017584789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}